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Security, Privacy, and Applied Cryptography Engineering

14th International Conference, SPACE 2024, Kottayam, India, December 14–17, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Johann Knechtel

    1. New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

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  2. Urbi Chatterjee

    1. Indian Institute of Technology Kanpur, Kanpur, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Domenic Forte

    1. University of Florida, Gainesville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15351)

Included in the following conference series:

Conference proceedings info: SPACE 2024.

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About this book

This book constitutes the refereed proceedings of the 14th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2024, held in Kottayam, India, during December 14–17, 2024.

The 8 full papers, 10 short papers and 1 invited paper included in this book were carefully reviewed and selected from 43 submissions. They were organized in topical sections as follows: security, privacy, applied cryptographic engineering, integration of machine learning techniques, reflecting the growing prominence of this approach in contemporary research on security and cryptography, hardware security, the exploration of post-quantum cryptography, and the development of efficient implementations for emerging cryptographic primitives.

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Keywords

Table of contents (18 papers)

  1. Front Matter

    Pages i-x
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  2. Attacks and Countermeasures for Digital Microfluidic Biochips

    • Navajit Singh Baban, Prithwish Basu Roy, Pauline John, Azhar Zam, Sukanta Bhattacharjee, Yong-Ak Song et al.
    Pages 1-5

  3. SideLink: Exposing NVLink to Covert and Side-Channel Attacks Official Work-in-Progress Paper

    • Issa Baddour, Dip Sankar Banerjee, Somitra Kumar Sanadhya
    Pages 6-15

  4. Faster and More Energy-Efficient Equation Solvers over GF(2)

    • Subhadeep Banik, Francesco Regazzoni
    Pages 16-39

  5. Transferability of Evasion Attacks Against FHE Encrypted Inference

    • Reeshav Chowdhury, Aman Kumar, Vaibhav Dashrath Mohite, Ayantika Chatterjee
    Pages 40-68

  6. Security Analysis of ASCON Cipher Under Persistent Faults

    • Madhurima Das, Bodhisatwa Mazumdar
    Pages 69-79

  7. Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-money Laundering

    • Fabrianne Effendi, Anupam Chattopadhyay
    Pages 80-105

  8. CoPrIME: Complete Process Isolation Using Memory Encryption

    • Saltanat Firdous, Asutosh Brahma, Arjun Menon, Chester Rebeiro
    Pages 106-109

  9. Online Testing Entropy and Entropy Tests with a Two State Markov Model

    • David Johnston
    Pages 110-128

  10. DLShield: A Defense Approach Against Dirty Label Attacks in Heterogeneous Federated Learning

    • K. M. Sameera, M. Abhinav, P. P. Amal, T. Babu Abhiram, Raj K. Abishek, Tomichen Amal et al.
    Pages 129-148

  11. Benchmarking Backdoor Attacks on Graph Convolution Neural Networks: A Comprehensive Analysis of Poisoning Techniques

    • Rupesh Raj Karn, Ozgur Sinanoglu
    Pages 149-174

  12. NID-TGN: Spatiotemporal Intrusion Detection System for IoT Networks

    • Jonna Likith Sai, Souptik Majumder, Rohit Verma, Priyanka Bagade
    Pages 175-195

  13. High Speed High Assurance Implementations of Multivariate Quadratic Based Signatures

    • M. Samyuktha, Pallavi Borkar, Chester Rebeiro
    Pages 196-200

  14. “There’s Always Another Counter”: Detecting Micro-Architectural Attacks in a Probabilistically Interleaved Malicious/Benign Setting

    • Upasana Mandal, Rupali Kalundia, Nimish Mishra, Shubhi Shukla, Sarani Bhattacharya, Debdeep Mukhopadhyay
    Pages 201-220

  15. FPGA-Based Acceleration of Homomorphic Convolution with Plaintext Kernels

    • Rohith George Ninan, S. Kala
    Pages 221-224

  16. Post-quantum Multi-client Conjunctive Searchable Symmetric Encryption from Isogenies

    • Sikhar Patranabis
    Pages 225-257

  17. BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks

    • Yi Hao Puah, Anh Tu Ngo, Nandish Chattopadhyay, Anupam Chattopadhyay
    Pages 258-276

  18. Adversarial Malware Detection

    • Ashish Vishwakarma, Umesh Kashyap, Sk Subidh Ali
    Pages 277-286

  19. ML Based Improved Differential Distinguisher with High Accuracy: Application to GIFT-128 and ASCON

    • Tarun Yadav, Manoj Kumar
    Pages 287-316

  20. Back Matter

    Pages 317-318
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Other volumes

  1. Security, Privacy, and Applied Cryptography Engineering

Editors and Affiliations

  • New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

    Johann Knechtel

  • Indian Institute of Technology Kanpur, Kanpur, India

    Urbi Chatterjee

  • University of Florida, Gainesville, USA

    Domenic Forte

Bibliographic Information

  • Book Title: Security, Privacy, and Applied Cryptography Engineering

  • Book Subtitle: 14th International Conference, SPACE 2024, Kottayam, India, December 14–17, 2024, Proceedings

  • Editors: Johann Knechtel, Urbi Chatterjee, Domenic Forte

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-80408-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-80407-6Published: 13 December 2024

  • eBook ISBN: 978-3-031-80408-3Published: 12 December 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 318

  • Number of Illustrations: 26 b/w illustrations, 79 illustrations in colour

  • Topics: Systems and Data Security, Computer Communication Networks, Computer Imaging, Vision, Pattern Recognition and Graphics

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